🔍 Code Extractor

A test function that validates the DocumentExtractor's ability to extract text content from multiple file formats (text and markdown) and combine them into a unified previous reports summary.

Purpose

This function serves as an integration test for the DocumentExtractor class, specifically testing its capability to handle mixed file types containing previous meeting reports, action items, and decisions. It creates temporary test files with sample content, extracts text from each, combines the results, and verifies the extraction process works correctly across different file formats.

Source Code

def test_mixed_previous_reports():
    print("Testing Enhanced Previous Reports Functionality")
    print("=" * 60)
    
    extractor = DocumentExtractor()
    
    # Create test files
    test_files = []
    
    # Test 1: Text file
    with tempfile.NamedTemporaryFile(mode='w', suffix='.txt', delete=False) as f:
        f.write("""Previous Meeting Actions:
1. Complete user testing by end of week
2. Review API documentation 
3. Schedule follow-up with stakeholders

Key Decisions:
- Approved budget increase for Q3
- Selected vendor for cloud migration
""")
        test_files.append(f.name)
    
    # Test 2: Markdown file  
    with tempfile.NamedTemporaryFile(mode='w', suffix='.md', delete=False) as f:
        f.write("""# Previous Meeting Summary

## Action Items
- [ ] Deploy staging environment
- [x] Update security protocols
- [ ] Conduct performance review

## Next Steps
1. Planning phase completion
2. Resource allocation review
""")
        test_files.append(f.name)
    
    print(f"Created {len(test_files)} test files")
    
    # Test extraction from each file
    all_content = []
    for i, file_path in enumerate(test_files):
        print(f"\nTesting file {i+1}: {Path(file_path).suffix}")
        extracted = extractor.extract_text(file_path)
        if extracted:
            print(f"✓ Extracted {len(extracted)} characters")
            all_content.append(f"=== File {i+1} ===\n{extracted}")
        else:
            print("✗ Failed to extract content")
    
    # Simulate the previous reports summary extraction
    if all_content:
        combined = "\n\n".join(all_content)
        print(f"\nCombined content length: {len(combined)} characters")
        print("\nSample combined content:")
        print("-" * 40)
        print(combined[:500] + "..." if len(combined) > 500 else combined)
        print("-" * 40)
        
        print("\n✓ Enhanced previous reports functionality working correctly!")
        print("The system can now handle:")
        supported = extractor.get_supported_extensions()
        for ext in supported:
            print(f"  - {ext.upper()} files")
    
    # Cleanup
    for file_path in test_files:
        try:
            os.unlink(file_path)
        except:
            pass
    
    print(f"\nTest completed successfully!")

Return Value

This function does not return any value (implicitly returns None). It performs testing operations and outputs results to stdout via print statements, indicating success or failure of the extraction process.

Dependencies

• tempfile
• os
• pathlib
• document_extractor

Required Imports

import tempfile
import os
from pathlib import Path
from document_extractor import DocumentExtractor

Usage Example

# Ensure DocumentExtractor is available in your project
# from document_extractor import DocumentExtractor

# Simply call the test function
test_mixed_previous_reports()

# Expected output:
# Testing Enhanced Previous Reports Functionality
# ============================================================
# Created 2 test files
# Testing file 1: .txt
# ✓ Extracted X characters
# Testing file 2: .md
# ✓ Extracted Y characters
# Combined content length: Z characters
# ...
# Test completed successfully!

Best Practices

• This is a test function and should be run in a testing environment, not in production code
• The function creates temporary files and attempts cleanup, but ensure proper file permissions exist
• The function prints output directly to stdout; consider capturing output if running in automated test suites
• Temporary files are cleaned up in a try-except block to prevent errors from stopping cleanup
• The DocumentExtractor class must be properly implemented and available before running this test
• This test validates both individual file extraction and combined content aggregation
• The function demonstrates expected usage patterns for the DocumentExtractor class

Tags

Similar Components

AI-powered semantic similarity - components with related functionality:

• function test_multiple_files 79.4% similar

  A test function that validates the extraction of text content from multiple document files using a DocumentExtractor instance, displaying extraction results and simulating combined content processing.

  From: /tf/active/vicechatdev/leexi/test_multiple_files.py

• function test_document_extractor 73.4% similar

  A test function that validates the DocumentExtractor class by testing file type support detection, text extraction from various document formats, and error handling.

  From: /tf/active/vicechatdev/leexi/test_document_extractor.py

• function extract_previous_reports_summary 67.4% similar

  Extracts and summarizes key information from previous meeting report files using document extraction and OpenAI's GPT-4o-mini model to provide context for upcoming meetings.

  From: /tf/active/vicechatdev/leexi/app.py

• function test_attendee_extraction_comprehensive 62.6% similar

  A comprehensive test function that validates the attendee extraction logic from meeting transcripts, comparing actual speakers versus mentioned names, and demonstrating integration with meeting minutes generation.

  From: /tf/active/vicechatdev/leexi/test_attendee_comprehensive.py

• function test_attendee_extraction 60.1% similar

  A test function that validates the attendee extraction logic of the EnhancedMeetingMinutesGenerator by parsing a meeting transcript and displaying extracted metadata including speakers, date, and duration.

  From: /tf/active/vicechatdev/leexi/test_attendee_extraction.py